Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems

Wenzheng Shu, Yanxiang Zeng, Yongxiang Tang +6

Offline reinforcement learning (RL) has emerged as a prevalent and effective methodology for real-world recommender systems, enabling learning policies from historical data and cap…